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ClimApp-将个人因素与天气预报相结合,为热应激提供个性化的预警和指导。

ClimApp-Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress.

机构信息

Section for Integrative Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, DK-2200 Copenhagen, Denmark.

TNO, Unit Defence, Safety & Security, Department of Human Performance, Netherlands Organization for Applied Scientific Research, 3769 DE Soesterberg, The Netherlands.

出版信息

Int J Environ Res Public Health. 2021 Oct 28;18(21):11317. doi: 10.3390/ijerph182111317.

DOI:10.3390/ijerph182111317
PMID:34769832
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8583482/
Abstract

This paper describes the functional development of the ClimApp tool (available for free on iOS and Android devices), which combines current and 24 h weather forecasting with individual information to offer personalised guidance related to thermal exposure. Heat and cold stress assessments are based on ISO standards and thermal models where environmental settings and personal factors are integrated into the ClimApp index ranging from -4 (extremely cold) to +4 (extremely hot), while a range of -1 and +1 signifies low thermal stress. Advice for individuals or for groups is available, and the user can customise the model input according to their personal situation, including activity level, clothing, body characteristics, heat acclimatisation, indoor or outdoor situation, and geographical location. ClimApp output consists of a weather summary, a brief assessment of the thermal situation, and a thermal stress warning. Advice is provided via infographics and text depending on the user profile. ClimApp is available in 10 languages: English, Danish, Dutch, Swedish, Norwegian, Hellenic (Greek), Italian, German, Spanish and French. The tool also includes a research functionality providing a platform for worker and citizen science projects to collect individual data on physical thermal strain and the experienced thermal strain. The application may therefore improve the translation of heat and cold risk assessments and guidance for subpopulations. ClimApp provides the framework for personalising and downscaling weather reports, alerts and advice at the personal level, based on GPS location and adjustable input of individual factors.

摘要

本文描述了 ClimApp 工具(可在 iOS 和 Android 设备上免费使用)的功能开发,该工具将当前天气和 24 小时天气预报与个人信息相结合,提供与热暴露相关的个性化指导。热和冷应激评估基于 ISO 标准和热模型,其中环境设置和个人因素被整合到 ClimApp 指数中,范围从-4(极冷)到+4(极热),而-1 和+1 表示低热应激。可为个人或团体提供建议,用户可以根据个人情况自定义模型输入,包括活动水平、衣着、身体特征、热适应、室内或室外情况以及地理位置。ClimApp 的输出包括天气摘要、对热情况的简要评估和热应激警告。建议通过图表和文本根据用户资料提供。ClimApp 有 10 种语言版本:英语、丹麦语、荷兰语、瑞典语、挪威语、希腊语、意大利语、德语、西班牙语和法语。该工具还包括一个研究功能,为工人和公民科学项目提供了一个收集个体物理热应激和体验热应激数据的平台。因此,该应用程序可以改善对亚人群的热和冷风险评估和指导的翻译。ClimApp 为基于 GPS 位置和个人因素可调节输入的个人层面上的天气报告、警报和建议的个性化和细化提供了框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/e7636df2d1d5/ijerph-18-11317-g017.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/095df89f35c4/ijerph-18-11317-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/190d671e690b/ijerph-18-11317-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/915686f94631/ijerph-18-11317-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/53ea5aeb761e/ijerph-18-11317-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/5f86d65459e9/ijerph-18-11317-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/8fbd3b9f32e7/ijerph-18-11317-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/669b53e0dafa/ijerph-18-11317-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/821156159e53/ijerph-18-11317-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/3ed9c64738d2/ijerph-18-11317-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/b66675f4a1cf/ijerph-18-11317-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/004ad2433937/ijerph-18-11317-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/697948be2acc/ijerph-18-11317-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/0375bff342e7/ijerph-18-11317-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/e7636df2d1d5/ijerph-18-11317-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/b20f14dee089/ijerph-18-11317-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/1999e89f13e2/ijerph-18-11317-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/28d0b1610571/ijerph-18-11317-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/095df89f35c4/ijerph-18-11317-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/190d671e690b/ijerph-18-11317-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/915686f94631/ijerph-18-11317-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/53ea5aeb761e/ijerph-18-11317-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/5f86d65459e9/ijerph-18-11317-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/8fbd3b9f32e7/ijerph-18-11317-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/669b53e0dafa/ijerph-18-11317-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/821156159e53/ijerph-18-11317-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/3ed9c64738d2/ijerph-18-11317-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/b66675f4a1cf/ijerph-18-11317-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/004ad2433937/ijerph-18-11317-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/697948be2acc/ijerph-18-11317-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/0375bff342e7/ijerph-18-11317-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6222/8583482/e7636df2d1d5/ijerph-18-11317-g017.jpg

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